AI usage compliance

AI Usage Compliance Reporting for GDPR, SOC 2, and ISO 27001

Create defensible AI usage compliance records with tool inventory, policy controls, sensitivity indicators, alerts, and exportable review evidence.

What this search usually needs to answer

AI usage compliance connects employee AI adoption with evidence that the company manages access, risk, data handling, and policy enforcement.

Best-fit scenarios

  • A company needs to answer customer security questionnaires about generative AI controls.
  • Compliance teams want evidence for GDPR, SOC 2, ISO 27001, vendor reviews, and internal audits.
  • Leadership needs recurring reporting on high-risk AI usage and remediation progress.

Operating steps

  1. Document approved telemetry sources, lawful basis, notice process, and access controls.
  2. Map discovered AI tools to policy status, vendor risk, team usage, and data sensitivity signals.
  3. Track alerts, exceptions, owner decisions, and remediation status.
  4. Export reports that explain what is known, what is restricted, and what still needs review.

Common risks to avoid

  • Compliance evidence must match actual controls; overstated reports create trust and legal risk.
  • AI governance can involve employee privacy, cross-border data, vendor terms, and sector rules.
  • Without regular review, a once-accurate AI usage report becomes outdated quickly.